Correct Docs

HISTORY.md

@@ -4,7 +4,7 @@
 * Wheels will no longer be supported for macOS 10.14 Mojave; the minimum supported macOS version is now 10.15 Catalina [#1080](https://github.com/TileDB-Inc/TileDB-Py/pull/1080)
 
 # Bug Fixes
-* Correct issue where writing a NumPy array containing emppy strings would error out [#1089](https://github.com/TileDB-Inc/TileDB-Py/pull/1089)
+* Correct issue where writing a NumPy array containing empty strings would error out [#1089](https://github.com/TileDB-Inc/TileDB-Py/pull/1089)
 
 # TileDB-Py 0.14.4 Release Notes
 

tiledb/tests/test_libtiledb.py

@@ -1799,12 +1799,6 @@ def test_varlen_write_bytes(self):
             assert_array_equal(A, T.multi_index[1 : len(A)][""])
 
     def test_varlen_sparse_all_empty_strings(self):
-        # this test addresses a fix for specific need for reads on a
-        # large existing array, see
-        #   https://github.com/TileDB-Inc/TileDB-Py/pull/475
-        # we currently have to write a placeholder at the end to
-        # avoid zero-length cell error
-        # TODO: follow-up with improved testing for empty var-length/strings
         A = np.array(["", "", "", "", ""], dtype=object)
         dim_len = len(A)
         uri = self.path("varlen_all_empty_strings")
@@ -3486,6 +3480,10 @@ def test_from_numpy_empty_str(self, empty_str, num_strs):
 
         with tiledb.open(uri, "r") as A:
             assert_array_equal(A[:], np_array)
+            if has_pandas():
+                print(A.query(return_arrow=True).df[:])
+                # assert_array_equal(A.query(use_arrow=True).df[:][""], np_array)
+                # assert_array_equal(A.query(use_arrow=False).df[:][""], np_array)
 
 
 class ConsolidationTest(DiskTestCase):